PragmaticBookshelf
Sean Moriarity @seanmor5
edited by Tammy Coron @Paradox927
Stable Diffusion, ChatGPT, Whisper—these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir’s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you’ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.
The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you’ll be using them and much more to solve real-world problems in no time.
Start with the basics of the Nx programming paradigm—how it differs from the Elixir programming style you’re used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of deep learning with Axon. Unlock the power of Elixir and learn how to build and deploy machine learning models and pipelines anywhere. Learn how to analyze, visualize, and explain your data and models.
Discover how to use machine learning to solve diverse problems from image recognition to content recommendation—all in your favorite programming language.
Sean Moriarity is author of Genetic Algorithms in Elixir: Solve Problems using Evolution, co-creator of the Nx library, and creator of the Axon deep learning framework. Sean’s interests include mathematics, machine learning, and artificial intelligence.
- Full details: Machine Learning in Elixir: Learning to Learn with Nx and Axon by Sean Moriarity
- View this book’s portal and details on how to post errata and suggestions here.
Don’t forget you can get 35% off with your Devtalk discount! Just use the coupon code “devtalk.com" at checkout 
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stevensonmt
Oh man. I just spent my book budget without knowing this was on the way. I’m going to be following up the Genetic Algorithms book with Mazes for Programmers, thinking that might be training ground for some genetic algorithm practice. But this book looks really great. Maybe Santa Claus will think I’ve been a good boy this year.
kevinschweikert
The site says: Not currently available for purchase
Am I missing anything?
kokolegorille
Now it is available…
MisterToolbox
Perfect timing for me - just picked it up. Thanks! Love all the PragProg books I’ve read thus far.
bdarla
Great timing of the summer vacations!
gbarkhatov
This is incredible! Instabuy
johnknott
My 3090 arrived today too, a good combination. That’s my weekend sorted.
pragprog
Can I steal this for promotion? And can I use your name? What attribution would you like?
gbarkhatov
Sure you can!
Govard Barkhatov, front-end developer
camcaine
Awesome! Got